Energy Efficient Seamless Service Provisioning in Mobile Cloud Computing

Ravi, Anuradha; Peddoju, Sateesh K.

doi:10.1109/sose.2013.67

Cited by 17 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The creator additionally centered on best in class versatile distributed computing and its execution strategies. Ravi et al [9] discussed about the problem related to the correspondence overhead, offloading of utilization execution to cloud customer more vitality than executing in the gadget itself. The creator additionally centered around the structure for vitality proficient consistent administration with highlight like, associating heterogeneous cell phone to frame portable impromptu cloud.…”

Section: Cloud Computing Mobile Cloudmentioning

confidence: 99%

Reducing Energy Consumption in Smart System through Mobilouds Framework

M.S¹,

G.N²,

M³

2017

IJTSRD

View full text Add to dashboard Cite

Mobile cloud computing (MCC) it's related energy implication are seen everywhere in large Offloading computationally raised endeavor's to the cloud datacentres being the basic thought driving MCC (Mobile Cloud Computing), a vast segment of the mobile terminal assets partaking in the MCC (mobile Cloud Computing) aggregate execution are wasted as they remain sit out of gear till the mobile terminals get response from the datacentres.. This is an additional wastage of assets near to the cloud assets are starting at now being tended to as colossal vitality customers. Despite the fact that the assets consumed of the site without moving mobile resources are unimportant in contrast with the cloud partner, such utilizations impact sly affects the mobile devices bringing about superfluous battery channels. Mobilouds which consolidate a multi-level processing architecture with various phases of process cluster limits and a product application to supervise vitality utilization. Mobilouds framework energizes the mobile device cooperation in the MCC (Mobile Cloud Computing) synchronized effort execution, there by lessens the weight of idle mobile resource and uses such idle resource in the actual job execution.

show abstract

Section: Cloud Computing Mobile Cloudmentioning

confidence: 99%

Reducing Energy Consumption in Smart System through Mobilouds Framework

M.S¹,

G.N²,

M³

2017

IJTSRD

View full text Add to dashboard Cite

show abstract

“…In this case it is anticipated that the mobile devices should be in the proximity of each other. Providing uninterrupted service through the access of wireless medium is a major challenge [2]. Various frameworks have been developed for achieving seamless connectivity between the cloud and mobile device.…”

Section: Figure1 Cloud Environmentmentioning

confidence: 99%

A Framework for Energy Efficient Collaborative Video Download and Sharing in Cloud Environment

Santhi¹,

Pavithraa²,

Nisha³

et al. 2015

IJCA

View full text Add to dashboard Cite

Video download using cloud services is one of the most popular applications in the field of mobile cloud computing. Reducing the energy consumption of the mobile devices is a major challenge in sustaining multimedia applications. In our proposed work, an adaptive framework is provided for group of users with common interest to collaboratively download a video file from the cloud and share it. In collaborative file download each node downloads only a segment of video file. These downloaded segments are reassembled and merged into a complete file and then it is shared to all users of the ad hoc group. Only the mobile nodes with relatively good battery level involve in video segment download whereas the nodes with low battery life remain futile. This greatly reduces the battery consumption of the mobile devices as a whole. Seamless connectivity is established between the mobile devices and the cloud infrastructure to smoothen the service.

show abstract

“…This decision depends on the capability of the device used for availing service. Availing service from Bluetooth ad hoc network is explained in one of our works [32].…”

Section: Fig 3 Interaction Between Various Modulesmentioning

confidence: 99%

“…In such cases, the execution is transferred to the Cloud to be executed in a compatible VM, thus minimising the time to start the execution from beginning. Horizontal handoff in Cloudlet and ad hoc network is detailed in our previous works [31] and [32] respectively.…”

Section: Horizontal Handoffmentioning

confidence: 99%

Handoff Strategy for Improving Energy Efficiency and Cloud Service Availability for Mobile Devices

Ravi

Peddoju

2014

Wireless Pers Commun

View full text Add to dashboard Cite

The increase in capabilities of mobile devices to perform computation tasks has led to increase in energy consumption. While offloading the computation tasks helps in reducing the energy consumption, service availability is a cause of major concern. Thus, the main objective of this work is to reduce the energy consumption of mobile device, while maximising the service availability for users. The multi-criteria decision making (MCDM) TOPSIS method prioritises among the service providing resources such as Cloud, Cloudlet and peer mobile devices. The superior one is chosen for offloading. While availing service from a resource, the proposed fuzzy vertical handoff algorithm triggers handoff from a resource to another, when the energy consumption of the device increases or the connection time with the resource decreases. In addition, parallel execution of tasks is performed to conserve energy of the mobile device. The results of experimental setup with opennebula Cloud platform, Cloudlets and Android mobile devices on various network environments, suggest that handoff from one resource to another is by far more beneficial in terms of energy consumption and service availability for mobile users.

show abstract

Energy Efficient Seamless Service Provisioning in Mobile Cloud Computing

Cited by 17 publications

References 19 publications

Reducing Energy Consumption in Smart System through Mobilouds Framework

Reducing Energy Consumption in Smart System through Mobilouds Framework

A Framework for Energy Efficient Collaborative Video Download and Sharing in Cloud Environment

Handoff Strategy for Improving Energy Efficiency and Cloud Service Availability for Mobile Devices

Contact Info

Product

Resources

About